MAgdeburg Lectures in Optimization and Control
Wir freuen uns den ersten Vortrag in 2020 der MAgdeburg Lectures on Optimization and Control (MALOC) Reihe anzukündigen, dieses Mal organisiert vom SIAM Student Chapter Magdeburg und gehalten von Prof. Zoran Tomljanović von der J. J. Strossmayer University of Osijek, Kroatien. Die MALOC-Lectures sind ein besonderes Format, in dem jedes Semester Experten aus den Gebieten Regelung und Optimierung nach Magdeburg eingeladen werden um ihre neuste Forschung Mathematikern, Ingenieuren und allen interessierten Personen hier in Magdeburg zu präsentieren.
Durch die immernoch ungewöhnlichen Umstände wird dieser Vortrag nicht vorort passieren sondern als Online-Event gehaltn, also fühlt euch frei von überall auf der Welt dabei zu sein, wo auch immer ihr eine Internetverbindung findet ;-)
Weitere Informationen weiter sind unten.
Zoran Tomljanovic
We consider vibration analysis and vibration reduction for mechanical systems. Vibration reduction is very important in the study of mechanical systems and it is usually achieved by damping optimization. In damping optimization, the principal goal is to determine an optimal external damping matrix which will ensure optimal evanescence of system’s solution (i.e. evanescence of deviation from its equilibrium). One can consider different optimality measures for that purpose, which depend on particular applications. Thus, in the first part of the talk we present problem formulation and give an overview of a different optimality measures. In the second part of the talk we are focused on sampling-free model reduction of systems, which can be applied for efficient damping optimization. Furthermore, t his can be also applied for model reduction of linear dynamical systems having an affine parameter dependence that allow low-rank variation in the state matrix. We propose an approach that requires neither parameter sampling nor parameter space exploration. Instead, we represent the system response function as a composition of four subsystem response functions that are nonparametric with a purely parameter-dependent function. The parametric structure of our reduced system representation lends itself very well to the development of optimization strategies making use of efficient cost function surrogates. We discuss this in detail for damping optimization of vibrating structures. We illustrate our approach on a class of numerical examples.
Time & Place
The online presentation on Friday, September 25, 2020 will be start at 3.00 p.m..
To see the online presentation please visit this link:
https://bbb.mpi-magdeburg.mpg.de/meeting/MALOC2020
Password: snwo3
